Asthma Exacerbation Prediction and Risk Factor Analysis Based on a Time-Sensitive, Attentive Neural Network: Retrospective Cohort Study.

Journal: Journal of medical Internet research
Published Date: Jul 31, 2020

Abstract

BACKGROUND: Asthma exacerbation is an acute or subacute episode of progressive worsening of asthma symptoms and can have a significant impact on patients' quality of life. However, efficient methods that can help identify personalized risk factors and make early predictions are lacking.

Authors

  • Yang Xiang
    Department of Biomedical Informatics, The Ohio State University, Columbus, OH 43210, USA.
  • Hangyu Ji
    Division of Gastroenterology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
  • Yujia Zhou
    Department of Biomedical Informatics and Data Science, School of Medicine, Yale University, New Haven, CT 06510, United States.
  • Fang Li
    Department of General Surgery, Chongqing General Hospital, Chongqing, China.
  • Jingcheng Du
    University of Texas Health Science Center at Houston, Houston, Texas, USA.
  • Laila Rasmy
    School of Biomedical Informatics, University of Texas Health Science Center at Houston (UTHealth), Houston, TX, United States.
  • Stephen Wu
    School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.
  • W Jim Zheng
    McWilliams School of Biomedical Informatics, University of Texas Health Science at Houston, Houston, TX, USA.
  • Hua Xu
    Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Degui Zhi
    School of Biomedical Informatics, the University of Texas Health Science Center at Houston, Houston, TX, USA.
  • Yaoyun Zhang
    Alibaba Damo Academy, 969 West Wen Yi Road, Yu Hang District, Hangzhou, Zhejiang, China.
  • Cui Tao
    The University of Texas Health Science Center at Houston, USA.

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